See how candidates think and approach the work this role demands, before the phone screen. We'll build a video challenge from this posting, and you can edit or share it before it goes live.
Databricks is building a fully automated, zero-touch order-to-cash system, treating its commercial and billing engine as a strategic bottleneck for launching new pricing models like marketplaces, partnerships, and pay-as-you-go across clouds.
Director of Engineering - Databricks Commercialization & Marketplace
P-1630
About the role
Every product Databricks ships has to be priced, contracted, rated and billed before it can earn a dollar. The Money organization builds the systems that make this happen, at hyperscaler scale and across every major cloud. We built the world's only cross-cloud integrated rating engine in-house, and it now rates billions of dollars in revenue. Our next goal is bigger: a fully automated, zero-touch order-to-cash flow where the platform is the source of truth for accounts, contracts and subscriptions, and Month End Close needs little or no human intervention.
As Director of Engineering, you will lead the engineering organization that owns this commercial engine from start to finish. You will set the product and technology strategy for how Databricks makes money. You will be the engineering voice Finance, Product and GTM leaders turn to for strategic decisions. You will also build the leadership bench that lets the organization keep scaling.
Speed is critical. Databricks keeps inventing new ways to sell: commit and pay-as-you-go, marketplaces, conditional benefits, strategic partnerships and new clouds and regions. The commerce engine either makes each of these fast and safe to launch, or it becomes the bottleneck. You will make sure it is the former.
What you'll own
The org covers six commercial domains:
The impact you'll have
What we're looking for
Why this role
You will run the engine behind the revenue of one of the fastest-growing data and AI companies in the world. The problems involve hard distributed-systems correctness at scale, high financial and compliance stakes, and a direct, visible link to company growth. You'll lead an established, high-trust team with a strong delivery record and help shape what the next generation of the commerce engine looks like.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Answer a McCoy challenge. Companies hiring in engineering see your response and reach out when they want to talk.
About 15 minutes to prepare and 5 minutes to record. Unlimited retakes and a teleprompter help you answer. No AI training, and you can delete your response anytime.
This isn't an application to Databricks.
databricks:8932679002databricksThis posting hasn't been probed by our closure verifier yet. Stream C runs on a rolling schedule against postings approaching the close-decision threshold.
See how we measure for definitions, or our corrections log for known issues. Found something wrong? Flag a correction.